• DocumentCode
    2046620
  • Title

    The Relationship Between Energy Consumption and Economic Growth in China Based on ANFIS

  • Author

    Zhang Xingping ; Mao Yuling

  • Author_Institution
    Sch. of Bus. Adm., North China Electr. Power Univ., Beijing
  • fYear
    2009
  • fDate
    23-24 May 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper investigates the interrelationship between energy consumption and economic growth in multivariate frameworks through including variables of energy intensity, GDP growth, and industry share. We use the theory of Adaptive-Network-Based Fuzzy Inference System (ANFIS) to reveal the mechanism that the three variables exert the influence on the energy consumption. By training and simulating the data samples spans the period 1954-2004, an Adaptive-Network-Based Fuzzy Inference Model which indicates the relationship between the energy consumption and the three variables is obtained. Furthermore, we predict the energy consumption of 2005 and 2006 using the ANFIS, and the forecast results are precise to the real energy consumption. At last, the energy conservation policies are discussed in this paper.
  • Keywords
    energy conservation; fuzzy reasoning; government policies; power system management; ANFIS; China; GDP growth; adaptive-network-based fuzzy inference system; economic growth; energy conservation policies; energy consumption; energy intensity; industry share; multivariate framework; Economic forecasting; Economic indicators; Energy conservation; Energy consumption; Fuzzy systems; Industrial economics; Industrial relations; Industrial training; Load forecasting; Power generation economics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3893-8
  • Electronic_ISBN
    978-1-4244-3894-5
  • Type

    conf

  • DOI
    10.1109/IWISA.2009.5073198
  • Filename
    5073198